Temporal continuity of visual attention for future gaze prediction in immersive virtual reality
作者机构：Department of Computer Science and TechnologySchool of Electronic Engineering and Computer SciencePeking UniversityBeijing 100871China Beijing Engineering Technology Research Center of Virtual Simulation and VisualizationPeking UniversityBeijing 100871China
出 版 物：《Virtual Reality & Intelligent Hardware》 (虚拟现实与智能硬件（中英文）)
年 卷 期：2020年第2卷第2期
页 面：142-152页
核心收录：
学科分类：07[理学] 0701[理学-数学] 070101[理学-基础数学]
基 金：the National Key R&D Program of China(2017 YFB 0203000) National Natural Science Foundation of China(61632003,61661146002,61631001)
主 题：Temporal continuity Visual attention Autocorrelation analysis Gaze prediction Virtual reality
摘 要：Background Eye tracking te chnology is receiving increased attention in the field of virtual ***,future gaze prediction is crucial in pre-computation for many applications such as gaze-contingent rendering,advertisement placement,and content-based *** explore future gaze prediction,it is necessary to analyze the temporal continuity of visual attention in immersive virtual *** In this paper,the concept of temporal continuity of visual attention is ***,an autocorrelation function method is proposed to evaluate the temporal ***,the temporal continuity is analyzed in both free-viewing and task-oriented *** Specifically,in free-viewing conditions,the analysis of a free-viewing gaze dataset indicates that the temporal continuity performs well only within a short time interval.A task-oriented game scene condition was created and conducted to collect users gaze *** analysis of the collected gaze data finds the temporal continuity has a similar performance with that of the free-viewing *** continuity can be applied to future gaze prediction and if it is good,users current gaze positions can be directly utilized to predict their gaze positions in the *** The current gaze s future prediction performances are further evaluated in both free-viewing and task-oriented conditions and discover that the current gaze can be efficiently applied to the task of short-term future gaze *** task of long-term gaze prediction still remains to be explored.
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